Add HealthBridge iOS app for intelligent health data synchronization
Complete implementation of a SwiftUI iOS app that serves as a "Single Source of Truth" for health data. The app reads from all Apple Health sources, detects conflicts between devices, merges data using configurable strategies, and writes cleaned data back. Features: - Phase 1: HealthKit integration with automatic source discovery - Phase 2: DataReader with conflict detection (time-window based) - Phase 3: RuleEngine with 8 merge strategies (exclusive, priority, higher wins, etc.) - Phase 4: MergeEngine for conflict resolution + DataWriter for HealthKit writes - Phase 5: SwiftUI UI for dashboard, conflicts, rules, and sources management - Phase 6: Background sync with configurable intervals and push notifications - Phase 7: Complete rule editor and polished UI components Supported data types: - Steps, Heart Rate, Blood Pressure, SpO2, Sleep - Distance, Floors Climbed, Active Energy, HRV, Respiratory Rate Architecture: SourceManager -> DataReader -> RuleEngine -> MergeEngine -> DataWriter
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import Foundation
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import Combine
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// MARK: - Merge Engine
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@MainActor
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class MergeEngine: ObservableObject {
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static let shared = MergeEngine()
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private let ruleEngine = RuleEngine.shared
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private let dataReader = DataReader.shared
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@Published var pendingMerges: [MergeOperation] = []
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@Published var completedMerges: [MergeOperation] = []
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@Published var isMerging = false
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@Published var mergeProgress: Double = 0
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private init() {}
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// MARK: - Analyze Window
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func analyze(windowData: TimeWindowData) -> WindowAnalysis {
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let readings = windowData.readings
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let dataType = windowData.dataType
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// No analysis needed for single reading
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if readings.count <= 1 {
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return WindowAnalysis(
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windowData: windowData,
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hasConflict: false,
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conflictSeverity: nil,
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recommendedReading: readings.first,
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alternativeReadings: [],
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confidence: .high,
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analysisNotes: readings.isEmpty ? "Keine Daten" : "Einzelne Quelle"
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)
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}
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// Apply rule to get recommendation
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let result = ruleEngine.applyRule(to: readings, dataType: dataType)
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// Calculate conflict severity
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let values = readings.map { $0.value }.filter { $0 > 0 }
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var severity: ConflictSeverity? = nil
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if values.count >= 2, let min = values.min(), let max = values.max(), min > 0 {
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let percentDiff = (max - min) / min * 100
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if percentDiff >= 5 {
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if percentDiff < 10 { severity = .minor }
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else if percentDiff < 25 { severity = .moderate }
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else if percentDiff < 50 { severity = .significant }
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else { severity = .major }
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}
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}
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let alternativeReadings = readings.filter { $0.id != result.selectedReading?.id }
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return WindowAnalysis(
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windowData: windowData,
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hasConflict: windowData.hasConflict,
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conflictSeverity: severity,
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recommendedReading: result.selectedReading,
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alternativeReadings: alternativeReadings,
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confidence: result.confidence,
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analysisNotes: result.reason
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)
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}
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// MARK: - Resolve Conflict
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func resolveConflict(_ conflict: Conflict, using result: RuleApplicationResult) -> ConflictResolution? {
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guard let selectedReading = result.selectedReading else {
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return nil
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}
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return ConflictResolution(
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resolvedValue: selectedReading.value,
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secondaryResolvedValue: selectedReading.secondaryValue,
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winningSourceId: selectedReading.sourceId,
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strategy: result.strategy,
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isManual: result.strategy == .manual
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)
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}
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func resolveConflictManually(
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_ conflict: Conflict,
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selectedReadingId: UUID
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) -> ConflictResolution? {
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guard let selectedReading = conflict.readings.first(where: { $0.id == selectedReadingId }) else {
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return nil
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}
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return ConflictResolution(
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resolvedValue: selectedReading.value,
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secondaryResolvedValue: selectedReading.secondaryValue,
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winningSourceId: selectedReading.sourceId,
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strategy: .manual,
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isManual: true
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)
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}
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// MARK: - Create Merged Record
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func createMergedRecord(from conflict: Conflict, resolution: ConflictResolution) -> MergedRecord {
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return MergedRecord(
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id: UUID(),
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dataType: conflict.dataType,
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timeWindow: conflict.timeWindow,
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value: resolution.resolvedValue,
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secondaryValue: resolution.secondaryResolvedValue,
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originalSourceId: resolution.winningSourceId,
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strategy: resolution.strategy,
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createdAt: Date(),
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metadata: [
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"conflictId": conflict.id.uuidString,
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"originalSourceCount": String(conflict.readings.count),
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"isManualResolution": String(resolution.isManual)
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]
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)
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}
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// MARK: - Batch Processing
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func processConflicts(_ conflicts: [Conflict]) async -> [MergeOperation] {
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isMerging = true
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defer { isMerging = false }
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var operations: [MergeOperation] = []
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for (index, conflict) in conflicts.enumerated() {
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mergeProgress = Double(index) / Double(conflicts.count)
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let result = ruleEngine.applyRule(to: conflict.readings, dataType: conflict.dataType)
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if result.confidence == .requiresManual ||
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ruleEngine.shouldRequestManualReview(readings: conflict.readings, dataType: conflict.dataType) {
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// Add to pending for manual review
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let operation = MergeOperation(
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conflict: conflict,
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status: .pendingManualReview,
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result: result
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)
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pendingMerges.append(operation)
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operations.append(operation)
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} else if let resolution = resolveConflict(conflict, using: result) {
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// Auto-resolve
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let mergedRecord = createMergedRecord(from: conflict, resolution: resolution)
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let operation = MergeOperation(
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conflict: conflict,
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status: .resolved,
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result: result,
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resolution: resolution,
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mergedRecord: mergedRecord
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)
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completedMerges.append(operation)
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operations.append(operation)
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}
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}
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mergeProgress = 1.0
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return operations
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}
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// MARK: - Daily Merge
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func performDailyMerge(for date: Date) async throws -> DailyMergeReport {
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let calendar = Calendar.current
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let startOfDay = calendar.startOfDay(for: date)
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let endOfDay = calendar.date(byAdding: .day, value: 1, to: startOfDay)!
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var report = DailyMergeReport(date: date)
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for dataType in HealthDataType.allCases {
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do {
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let windowData = try await dataReader.fetchData(
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for: dataType,
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from: startOfDay,
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to: endOfDay
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)
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let conflictWindows = windowData.filter { $0.hasConflict }
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report.totalConflicts += conflictWindows.count
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for window in conflictWindows {
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let analysis = analyze(windowData: window)
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if analysis.confidence == .requiresManual {
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report.pendingManualReview += 1
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} else {
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report.autoResolved += 1
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}
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report.analysesByType[dataType, default: []].append(analysis)
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}
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} catch {
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report.errors.append("Fehler bei \(dataType.displayName): \(error.localizedDescription)")
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}
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}
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return report
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}
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}
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// MARK: - Supporting Types
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struct WindowAnalysis {
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let windowData: TimeWindowData
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let hasConflict: Bool
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let conflictSeverity: ConflictSeverity?
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let recommendedReading: SourceReading?
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let alternativeReadings: [SourceReading]
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let confidence: RuleConfidence
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let analysisNotes: String
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var recommendedValue: Double? {
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recommendedReading?.value
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}
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var valueDifference: Double? {
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guard let recommended = recommendedReading?.value,
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let alternative = alternativeReadings.first?.value else {
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return nil
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}
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return abs(recommended - alternative)
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}
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}
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struct MergeOperation: Identifiable {
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let id = UUID()
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let conflict: Conflict
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var status: MergeStatus
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let result: RuleApplicationResult
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var resolution: ConflictResolution?
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var mergedRecord: MergedRecord?
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let createdAt = Date()
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var processedAt: Date?
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enum MergeStatus {
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case pending
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case pendingManualReview
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case resolved
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case written
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case failed
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}
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}
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struct MergedRecord: Identifiable, Codable {
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let id: UUID
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let dataType: HealthDataType
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let timeWindow: TimeWindow
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let value: Double
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let secondaryValue: Double?
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let originalSourceId: String
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let strategy: MergeStrategy
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let createdAt: Date
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var writtenAt: Date?
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var healthKitRecordId: String?
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var metadata: [String: String]
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var formattedValue: String {
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if value == floor(value) {
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return String(format: "%.0f", value)
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}
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return String(format: "%.1f", value)
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}
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}
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struct DailyMergeReport {
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let date: Date
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var totalConflicts = 0
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var autoResolved = 0
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var pendingManualReview = 0
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var analysesByType: [HealthDataType: [WindowAnalysis]] = [:]
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var errors: [String] = []
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let generatedAt = Date()
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var successRate: Double {
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guard totalConflicts > 0 else { return 1.0 }
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return Double(autoResolved) / Double(totalConflicts)
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}
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var summary: String {
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if totalConflicts == 0 {
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return "Keine Konflikte gefunden"
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}
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return "\(autoResolved)/\(totalConflicts) automatisch gelöst, \(pendingManualReview) zur Prüfung"
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}
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}
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